OG Chappahs — CS2 Stats

US76561198066633105[U:1:106367377]Steam profile ↗

349Tracked matches41%Win rate2021Tracked since

399Hours in CS

CSDB Rating4.4 Developing

Ladder ranks via Leetify

Performance scores

Aim56

Positioning41

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY41–52–7Last 10041%Win rateWWLLLLWWLL

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

Aim5.6

Aggression3.7

Utility4.5

Positioning4.1

Opening Duels0.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like NiKo 80% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 553ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.6

Positioning4.1

Utility4.5

Mechanics6.2

Opening Duels1.2

Win Impact2.1

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.03

first ⅓ avg -0.02 → last ⅓ avg -0.05

Reaction time560ms−36ms

first ⅓ avg 596ms → last ⅓ avg 560ms

Headshot accuracy20.7%+3.9%

first ⅓ avg 16.8% → last ⅓ avg 20.7%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.11Best rating — cache 13–5

13–1Biggest win — vertigo

8Longest win streak

W2Current streak

9–4In matches decided by ≤2 rounds

2Overtime games

Map breakdown

nukeBest map · 70% over 10trainWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	22	10–12	45%	-0.04
dust2	D	22	7–15	32%	-0.03
cache	C	14	5–9	36%	-0.03
mirage	D	12	4–8	33%	-0.02
nuke	S	10	7–3	70%	-0.04
vertigo	C	9	4–5	44%	-0.05
train	D	6	1–5	17%	-0.05
anubis	—	2	1–1	50%	-0.01
ancient	—	2	1–1	50%	-0.04
overpass	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Lifetime stats

17,227Lifetime kills

0.90K/D

1,182Matches

42.1%Match win rate

39.6%Headshot %

13.1%Shot accuracy · Top 50% of tracked players

2,640MVPs

399Hours (in match)

1,323Bombs planted

176Bombs defused

Most-used weapons

AWP3,244

M4A4 / M4A1-S2,831

AK-472,727

P2000 / USP-S1,346

Glock-18853

P90819

SSG 08590

MP7542

Galil AR461

Desert Eagle429

Lifetime map wins

4,270dust2

1,207inferno

781lake

531nuke

272train

185vertigo

117office

70cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.5%Headshot accuracy

28.9%Accuracy (enemy spotted)

30.7%Spray accuracy

77.8%Counter-strafing

11.5°Preaim

553msReaction time

27.3%T opening success

39.4%CT opening success

0.43Enemies flashed / flash

3.4%Flash assists

6.49HE damage / grenade

10.80Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4349 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 27.3459% — below the 40% mark we flag

Spend your practice time on Train

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–6	-0.07	40%	28 Aug →
dust2	13–9	-0.06	14%	26 Aug →
inferno	10–13	-0.09	8%	23 Aug →
mirage	4–13	-0.08	23%	22 Aug →
vertigo	5–13	-0.11	17%	22 Aug →
dust2	11–13	0.04	26%	22 Aug →
nuke	13–7	-0.06	15%	15 Aug →
nuke	13–11	-0.08	23%	15 Aug →
dust2	6–13	-0.08	18%	15 Aug →
inferno	13–16	-0.04	20%	12 Aug →
inferno	6–13	-0.06	16%	12 Aug →
mirage	2–13	-0.03	20%	1 Aug →
vertigo	3–9	-0.05	8%	31 Jul →
dust2	3–13	-0.06	18%	25 Jul →
mirage	5–13	-0.08	14%	25 Jul →
inferno	11–13	-0.05	21%	23 Jul →
inferno	12–12	-0.02	14%	21 Jul →
inferno	13–7	-0.03	7%	21 Jul →
inferno	13–11	-0.02	14%	19 Jul →
mirage	13–3	-0.00	21%	19 Jul →
inferno	13–8	0.00	18%	18 Jul →
dust2	13–7	-0.07	36%	17 Jul →
vertigo	13–5	-0.07	11%	16 Jul →
inferno	9–13	-0.08	16%	15 Jul →
cache	10–13	-0.04	12%	15 Jul →
dust2	7–13	-0.08	30%	15 Jul →
mirage	4–13	-0.09	17%	15 Jul →
inferno	13–8	-0.04	25%	13 Jul →
inferno	13–5	-0.06	47%	12 Jul →
mirage	0–7	-0.05	40%	12 Jul →
train	5–13	-0.05	33%	11 Jul →
dust2	13–11	0.08	23%	11 Jul →
cache	10–13	-0.10	17%	8 Jul →
vertigo	12–12	-0.05	16%	8 Jul →
inferno	6–13	-0.03	29%	7 Jul →
vertigo	5–13	-0.09	20%	4 Jul →
dust2	6–13	-0.04	8%	4 Jul →
dust2	9–13	-0.10	13%	22 Jun →
dust2	13–11	0.00	25%	13 Jun →
mirage	12–12	0.01	23%	7 Jun →
inferno	1–9	-0.02	10%	7 Jun →
dust2	12–12	-0.04	17%	6 Jun →
vertigo	7–13	-0.08	26%	6 Jun →
nuke	13–3	0.03	28%	6 Jun →
train	6–13	-0.02	18%	6 Jun →
train	4–13	-0.08	10%	24 May →
inferno	13–11	-0.05	12%	24 May →
inferno	7–4	-0.01	15%	16 May →
train	13–11	-0.02	12%	13 May →
inferno	5–13	-0.04	9%	12 May →
mirage	13–10	0.05	18%	12 May →
dust2	1–13	-0.06	3%	12 May →
cache	4–8	-0.06	6%	11 May →
inferno	6–13	-0.03	21%	10 May →
nuke	8–13	-0.06	18%	10 May →
anubis	8–13	-0.02	18%	10 May →
ancient	7–13	-0.06	10%	10 May →
cache	13–9	-0.07	13%	10 May →
dust2	13–4	0.00	36%	10 May →
mirage	12–12	-0.02	11%	10 May →
cache	13–11	-0.04	9%	9 May →
train	12–12	-0.07	9%	9 May →
dust2	12–12	-0.02	26%	9 May →
mirage	0–5	0.00	0%	8 May →
mirage	13–2	0.04	16%	8 May →
train	9–13	-0.07	9%	6 May →
dust2	4–13	-0.04	23%	5 May →
nuke	5–13	-0.02	19%	3 May →
cache	8–13	-0.03	20%	3 May →
cache	13–5	0.11	12%	3 May →
cache	13–3	0.03	24%	3 May →
nuke	13–6	0.00	24%	3 May →
dust2	13–5	-0.01	19%	3 May →
cache	13–7	-0.06	11%	3 May →
vertigo	13–1	0.02	17%	3 May →
inferno	13–7	-0.08	18%	3 May →
dust2	11–13	-0.06	14%	2 May →
cache	4–13	-0.07	23%	2 May →
dust2	13–10	0.00	25%	1 May →
cache	7–13	-0.07	14%	1 May →
dust2	7–13	0.01	17%	30 Apr →
dust2	2–13	-0.05	21%	29 Apr →
cache	6–13	0.04	22%	29 Apr →
cache	1–13	-0.04	15%	28 Apr →
cache	9–13	-0.02	15%	28 Apr →
dust2	4–11	-0.03	29%	27 Apr →
nuke	10–12	-0.08	15%	25 Apr →
nuke	13–6	-0.07	11%	19 Apr →
vertigo	13–5	-0.06	4%	19 Apr →
inferno	9–13	-0.01	8%	19 Apr →
nuke	13–11	-0.03	35%	18 Apr →
inferno	16–12	-0.02	19%	18 Apr →
ancient	13–11	-0.01	22%	18 Apr →
mirage	13–8	-0.03	17%	18 Apr →
vertigo	13–4	0.01	15%	18 Apr →
nuke	9–5	-0.01	5%	18 Apr →
overpass	13–4	-0.00	20%	18 Apr →
anubis	13–4	0.00	14%	18 Apr →
inferno	3–13	-0.04	7%	18 Apr →
dust2	0–13	-0.05	4%	18 Apr →